Special Issue Article Open Access

Effectual Multiprocessor Scheduling Based on Stochastic Optimization Technique

Abstract

The problem of task assignment in heterogeneous computing systems has been studied for many years with many variations. PSO [Particle Swarm Optimization] is a recently developed population based heuristic optimization technique. The hybrid heuristic model involves Particle Swarm Optimization (PSO) algorithm and Simulated Annealing (SA) algorithm. The PSO/SA algorithm has been developed to dynamically schedule heterogeneous tasks on to a heterogeneous processor in a distributed setup. PSO with dynamically reducing inertia is implemented which yields better result than fixed inertia.

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